Remember: The returns an asset made in the past don't mean that future returns will be the same.
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  • The Interpreter

    Hi Friend, The Interpreter here. Here are all the backtests I have performed within "Gap Inc/the (GPS)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for GPS Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999960 Maria (#1) 52.1 39 1.3 29 74.4 %
999971 Michael (#2) 41.7 29 1.5 40 65.5 %
999974 Erin (#3) 34.0 22 1.6 55 72.7 %
999970 David (#4) 40.7 28 1.5 42 71.4 %
999983 Justin (#5) 25.7 144 0.2 8 61.8 %
999982 Elizabeth (#6) 24.5 20 1.3 60 70.0 %
999974 Joseph (#7) 30.7 38 0.8 31 81.6 %
999976 Dylan (#8) 30.8 24 1.3 50 75.0 %
999982 Nicole (#9) 24.0 24 1.0 47 70.8 %
999978 Mark (#10) 28.2 25 1.1 47 76.0 %
999981 Michelle (#11) 28.1 23 1.2 51 65.2 %
999983 Kelsey (#12) 20.9 43 0.5 27 76.7 %
999981 Kevin (#13) 23.3 32 0.7 37 78.1 %
999998 Aaron (#14) 2.0 157 0.0 7 67.5 %
999981 Cody (#15) 24.0 27 0.9 44 74.1 %
999986 Madison (#16) 18.4 41 0.4 27 70.7 %
999989 Christopher (#17) 14.2 34 0.4 34 70.6 %
999994 Megan (#18) 9.1 54 0.2 20 59.3 %
999989 Austin (#19) 12.9 32 0.4 38 78.1 %
999984 Nicholas (#20) 21.9 33 0.7 33 69.7 %
999991 Courtney (#21) 10.5 22 0.5 55 77.3 %
999996 Benjamin (#22) 2.5 25 0.1 49 84.0 %
999992 Brianna (#23) 10.5 51 0.2 22 72.6 %
999993 Emily (#24) 7.9 13 0.6 95 76.9 %
999997 Alyssa (#25) 1.7 30 0.1 41 80.0 %
999994 Anthony (#26) 6.6 52 0.1 22 71.2 %
1000000 Amber (#27) -1.7 107 -0.0 10 65.4 %
1000000 Jessica (#28) -2.5 140 -0.0 8 66.4 %
1000001 Juan (#29) -1.8 23 -0.1 57 78.3 %
999992 Christina (#30) 8.8 40 0.2 28 72.5 %
999993 Kimberly (#31) 7.5 22 0.4 54 72.7 %
999996 Charles (#32) 4.3 27 0.2 44 74.1 %
999996 Daniel (#33) 3.7 16 0.3 76 75.0 %
999990 Nathan (#34) 11.2 12 0.9 109 83.3 %
999998 Robert (#35) 2.0 11 0.2 108 72.7 %
1000006 Abigail (#36) -10.5 124 -0.1 9 66.9 %
999998 Alexandra (#37) 1.6 56 0.0 21 71.4 %
999996 Cameron (#38) 4.1 31 0.1 38 74.2 %
999994 John (#39) 9.0 105 0.1 10 61.0 %
999992 James (#40) 9.1 8 1.1 158 75.0 %
999995 Allison (#41) 4.9 35 0.1 35 77.1 %
999994 Kayla (#42) 7.2 48 0.2 23 72.9 %
1000003 Amanda (#43) -5.2 25 -0.2 61 84.0 %
999998 Mary (#44) 0.6 16 0.1 73 68.8 %
1000004 Chelsea (#45) -6.0 20 -0.3 61 80.0 %
1000001 Jacob (#46) -3.2 13 -0.2 95 76.9 %
999997 Jason (#47) 2.8 8 0.4 162 75.0 %
1000004 Alexis (#48) -7.0 50 -0.1 24 74.0 %
1000000 Kaitlyn (#49) -1.1 92 -0.0 12 63.0 %
1000002 Brittany (#50) -3.7 38 -0.1 30 71.1 %
999998 Joshua (#51) 0.7 25 0.0 47 76.0 %
1000003 Haley (#52) -6.4 14 -0.4 85 71.4 %
1000002 Morgan (#53) -3.7 14 -0.3 84 71.4 %
1000000 Ryan (#54) -1.7 11 -0.2 132 72.7 %
1000002 Patrick (#55) -4.7 12 -0.4 99 66.7 %
1000010 Kyle (#56) -13.7 18 -0.8 73 77.8 %
1000008 Melissa (#57) -14.0 36 -0.4 30 61.1 %
1000008 Danielle (#58) -12.0 14 -0.9 109 78.6 %
1000000 Rebecca (#59) -2.2 25 -0.1 45 64.0 %
1000010 Ashley (#60) -17.9 36 -0.5 33 63.9 %
1000009 Jose (#61) -15.2 46 -0.3 25 67.4 %
1000009 Christian (#62) -12.2 17 -0.7 89 82.4 %
1000011 Brandon (#63) -15.1 22 -0.7 69 81.8 %
1000008 Hannah (#64) -11.5 9 -1.3 140 77.8 %
1000003 Sara (#65) -6.0 7 -0.9 205 71.4 %
1000010 Anna (#66) -15.3 59 -0.3 19 71.2 %
1000007 Lauren (#67) -12.5 55 -0.2 20 67.3 %
1000011 Olivia (#68) -18.1 18 -1.0 65 66.7 %
1000012 Samuel (#69) -20.9 8 -2.6 143 62.5 %
1000004 Laura (#70) -7.6 94 -0.1 11 58.5 %
1000006 Rachel (#71) -10.4 12 -0.8 123 75.0 %
1000007 Samantha (#72) -13.7 14 -1.0 83 57.1 %
1000010 Richard (#73) -18.8 14 -1.4 84 57.1 %
1000020 Jesse (#74) -33.2 233 -0.1 5 62.2 %
1000012 Adam (#75) -18.4 91 -0.2 12 70.3 %
1000012 Brian (#76) -19.0 58 -0.3 19 69.0 %
1000012 Jonathan (#77) -19.4 72 -0.3 15 68.1 %
1000012 Alexander (#78) -20.2 67 -0.3 17 64.2 %
1000014 Matthew (#79) -17.5 14 -1.3 105 85.7 %
1000013 Jordan (#80) -23.1 51 -0.5 22 62.8 %
1000012 Katherine (#81) -20.5 60 -0.3 18 66.7 %
1000021 Eric (#82) -29.0 8 -3.6 187 75.0 %
1000019 Heather (#83) -29.5 6 -5.0 246 66.7 %
1000018 Andrew (#84) -30.1 68 -0.4 16 64.7 %
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